35 min
Data Storytelling with Scott Taylor the Data Whisperer Data Hurdles
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- Technology
The podcast episode of Data Hurtles, featuring hosts Chris Detzel and Michael Burke, along with guest Scott Taylor, known as the "Data Whisperer".
We discuss challenges with data management and master data management (MDM) at large enterprises. Common issues include duplicate customer records, inconsistent hierarchies, lack of data governance and standards, and poor data quality overall.
Scott talks about how to "sell" the value of MDM and data management to executives and stakeholders by focusing on business problems it can solve rather than technical jargon. He gives examples of framing it around enabling the company's strategic goals.
They discuss reasons why data quality and MDM are often overlooked, despite their importance. Factors include it not being "sexy" or exciting work, politics within organizations, and constantly changing data buzzwords/hype cycles.
Scott emphasizes first principles - no matter what new technologies arise, you still need a solid data foundation. He boils it down to getting four things right: unique codes, common hierarchies, a taxonomy, and consistent geographies.
They give tips for CDOs and data leaders on gaining internal traction, like tying data to business problems, building a case study, and maintaining both a strategic vision and tactical focus.
Overall the discussion focuses on storytelling, fundamentals, and framing data management in business terms rather than technical details. Scott provides colorful examples and stresses the need for strong data foundations.
The podcast episode of Data Hurtles, featuring hosts Chris Detzel and Michael Burke, along with guest Scott Taylor, known as the "Data Whisperer".
We discuss challenges with data management and master data management (MDM) at large enterprises. Common issues include duplicate customer records, inconsistent hierarchies, lack of data governance and standards, and poor data quality overall.
Scott talks about how to "sell" the value of MDM and data management to executives and stakeholders by focusing on business problems it can solve rather than technical jargon. He gives examples of framing it around enabling the company's strategic goals.
They discuss reasons why data quality and MDM are often overlooked, despite their importance. Factors include it not being "sexy" or exciting work, politics within organizations, and constantly changing data buzzwords/hype cycles.
Scott emphasizes first principles - no matter what new technologies arise, you still need a solid data foundation. He boils it down to getting four things right: unique codes, common hierarchies, a taxonomy, and consistent geographies.
They give tips for CDOs and data leaders on gaining internal traction, like tying data to business problems, building a case study, and maintaining both a strategic vision and tactical focus.
Overall the discussion focuses on storytelling, fundamentals, and framing data management in business terms rather than technical details. Scott provides colorful examples and stresses the need for strong data foundations.
35 min